This deliverable summarises the legal and ethical requirements, as well as the actions that AI-Mind’s clinical partners will follow before processing data (includes collecting, storing and sharing, see Definitions). Its purpose is to give an overview of the different requirements the partners must adhere to when processing data in the scope of this research project. The report represents current knowledge and planned procedures as of November 2021. This mapping of the complex landscape of regulatory steps necessary in the different countries shows a difference in how European countries have implemented general EU regulations into national law and how certain specific interpretations can differ. Although these variations exist, they must be...
Purpose: Biomedical data governance strategies should ensure that data are collected, stored, and us...
Purpose: Biomedical data governance strategies should ensure that data are collected, stored, and us...
Big data and AI are revolutionizing data processing in health care. The new paradigm of data-driven ...
Our Data Sharing Policy Development Guidelines provide information and guidance on developing a data...
In AI-Mind, data initially takes the form of collected data such as participants’ clinical data (e.g...
BACKGROUND: Large-scale linkage of international clinical datasets could lead to unique insights int...
Deliverable 1.1 – Data Management Plan (DMP) is related to WP1 – Coordination and management, Task 1...
Under the umbrella of the BioMedBridges project, fourteen research infrastructures in the biological...
open access article This work was supported by the European Union’s Horizon 2020 Framework Progra...
Almost all data sharing regulations have origins from the EU. At EU level, three trends can be ident...
Our Data Sharing Agreement Development Guidelines help those wishing to share data and those wanting...
Purpose Biomedical data governance strategies should ensure that data are collected, stored, and use...
The General Data Protection Regulation (GDPR) became binding law in the European Union Member States...
The General Data Protection Regulation (GDPR) became binding law in the European Union Member States...
Big data and AI are revolutionizing data processing in health care. The new paradigm of data-driven ...
Purpose: Biomedical data governance strategies should ensure that data are collected, stored, and us...
Purpose: Biomedical data governance strategies should ensure that data are collected, stored, and us...
Big data and AI are revolutionizing data processing in health care. The new paradigm of data-driven ...
Our Data Sharing Policy Development Guidelines provide information and guidance on developing a data...
In AI-Mind, data initially takes the form of collected data such as participants’ clinical data (e.g...
BACKGROUND: Large-scale linkage of international clinical datasets could lead to unique insights int...
Deliverable 1.1 – Data Management Plan (DMP) is related to WP1 – Coordination and management, Task 1...
Under the umbrella of the BioMedBridges project, fourteen research infrastructures in the biological...
open access article This work was supported by the European Union’s Horizon 2020 Framework Progra...
Almost all data sharing regulations have origins from the EU. At EU level, three trends can be ident...
Our Data Sharing Agreement Development Guidelines help those wishing to share data and those wanting...
Purpose Biomedical data governance strategies should ensure that data are collected, stored, and use...
The General Data Protection Regulation (GDPR) became binding law in the European Union Member States...
The General Data Protection Regulation (GDPR) became binding law in the European Union Member States...
Big data and AI are revolutionizing data processing in health care. The new paradigm of data-driven ...
Purpose: Biomedical data governance strategies should ensure that data are collected, stored, and us...
Purpose: Biomedical data governance strategies should ensure that data are collected, stored, and us...
Big data and AI are revolutionizing data processing in health care. The new paradigm of data-driven ...